G2

Tarang G.

Software Development Specialist

Computer Software

Small-Business (50 or fewer emp.)

8/2/2018

"Crab - A Python Recommender Engine Framework"

4.5/5

What do you like best about Crab?

Crab is a open source customized recommender engine creator which helps one to build recommender engines on the go without any high level knowledge of recommender engines.

A recommender engine can be built within few steps -

1. Load a dataset

2. Build a model using the Crab API

3. Define a similarity metric.

4. Add a recommender over it, using the Crab API

and you are done!

It has high level API and also support for well known python libraries which makes it unique and easy to use. Review collected by and hosted on G2.com.

What do you dislike about Crab?

This the only thing I prefer while building a recommender engine so I basically have no dislikes for Crab but I would like one thing to be improved, the documentation. Review collected by and hosted on G2.com.

Recommendations to others considering Crab:

There are very few tutorials or videos available on internet for the Crab. Once I was wondering how a newbie would be able to learn this very helpful framework without a good source of learning and browsed the web for a while and came out with some very useful links that can for sure help you out. Here they go -

http://muricoca.github.io/crab/tutorial.html

https://www.analyticsvidhya.com/blog/2016/06/quick-guide-build-recommendation-engine-python/

https://www.youtube.com/watch?v=Xll2ZFic-Ak

http://aimotion.blogspot.com/2011/05/crab-python-framework-for-building.html Review collected by and hosted on G2.com.

What problems is Crab solving and how is that benefiting you?

ML Hub Team uses the open source quality tools and software available in the market to develop solutions to the real life problems in the domain of Artificial Intelligence, NLP and Computer Vision. As we come across various projects regarding recommender engines we solely depend on Crab to bring solution to it. Crab has proved itself over the years and has been very helpful throughout the journey with the high level and easy to learn API. Review collected by and hosted on G2.com.